Text Input: The text input is padded to T words (where T was taken as 50, the 95th percentile of the sentence length) and was transformed into a matrix \(Embeddings\)  of the size \(NXM\)  where \(M\)  is the embedding size (300). These embeddings were obtained from GloVe [1]}. The CNN architecture is kim2014convolutional.
